Hallo Andreas,
so we did end up upgrading the OS and now I'm running CUDA
9.1. Now I have the following error:
nvcc fatal : Unsupported gpu architecture 'compute_20'
which is gone as of CUDA 9. I tried to set it within my
cmake file with
set( CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -gencode
arch=compute_50,code=sm_50")
which is the highest, supported by my GPU (GPX 750 Ti),
but it still didn't work. Here is the whole error message
/usr/bin/nvcc -M -D__CUDACC__
/home/kostov/Projects/Masterarbeit/Tests/data_copy/data_copy.cu
-o
/home/kostov/Projects/Masterarbeit/Tests/data_copy/build/CMakeFiles/cuda_copy_exe.dir//cuda_copy_exe_generated_data_copy.cu.o.NVCC-depend
-ccbin /usr/bin/cc -m64
-DHPX_APPLICATION_NAME=cuda_copy_exe
-DHPX_APPLICATION_STRING=\"cuda_copy_exe\"
-DHPX_PREFIX=\"/usr/local\" -DHPX_APPLICATION_EXPORTS
-Xcompiler
,\"-D_MWAITXINTRIN_H_INCLUDED\",\"-D_FORCE_INLINES\",\"-D__STRICT_ANSI__\",\"-g\"
-w -gencode=arch=compute_20,code=sm_20 -std=c++11
--expt-relaxed-constexpr --expt-extended-lambda
--default-stream per-thread -lcudadevrt -rdc=true -gencode
arch=compute_50,code=sm_50 -DNVCC -I/usr/local/include
-I/usr/local/include/hpx/external -I/usr/include
nvcc fatal : Unsupported gpu architecture 'compute_20'
and my cmake file
cmake_minimum_required(VERSION 3.3)
project(hpxvr CXX)
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(HPX_IGNORE_COMPILER_COMPATIBILITY ON)
find_package(HPX REQUIRED)
include_directories(${HPX_INCLUDE_DIR})
set( CMAKE_CXX_FLAGS "-D_MWAITXINTRIN_H_INCLUDED
-D_FORCE_INLINES -D__STRICT_ANSI__")
set( CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -gencode
arch=compute_50,code=sm_50")
add_hpx_executable(cuda_copy
ESSENTIAL
SOURCES data_copy.cu
)
Is HPX maybe setting the architecture to compute_20?
Best regards,
Ivan
On Tue, 27 Mar 2018 15:43:48 +0200
Andreas Schäfer <[email protected]> wrote:
> Ivan,
>
> could you retest this with CUDA 9.1? Version 7.5 is
>really old and I
> don't think it works well with modern C++. I don't think
>you have to
> re-install the whole OS, you could alternatively just
>download CUDA
> and install it manually.
>
> Thanks!
> -Andreas
>
>
> On 14:22 Tue 27 Mar , Ivan Kostov wrote:
>> Hi,
>>
>> I am trying to understand how HPX Compute works with
>>CUDA
>> and wanted to compile the
>> examples/compute/cuda/data_copy.cu example.
>>Unfortunately,
>> I'm getting the following error:
>>
>> /usr/include/c++/5/bits/stl_iterator_base_types.h(154):
>> error: class
>> "std::unique_ptr<hpx::parcelset::locality::impl_base,
>> std::default_delete<hpx::parcelset::locality::impl_base>>"
>> has no member "iterator_category"
>> detected during:
>> instantiation of class
>> "std::__iterator_traits<_Iterator, void> [with
>> _Iterator=std::unique_ptr<hpx::parcelset::locality::impl_base,
>> std::default_delete<hpx::parcelset::locality::impl_base>>]"
>> (163): here
>> instantiation of class
>> "std::iterator_traits<_Iterator> [with
>> _Iterator=std::unique_ptr<hpx::parcelset::locality::impl_base,
>> std::default_delete<hpx::parcelset::locality::impl_base>>]"
>> /usr/local/include/hpx/traits/is_iterator.hpp(43): here
>> instantiation of class
>> "hpx::traits::detail::is_iterator<T> [with
>> T=std::unique_ptr<hpx::parcelset::locality::impl_base,
>> std::default_delete<hpx::parcelset::locality::impl_base>>]"
>> /usr/local/include/hpx/traits/is_iterator.hpp(49): here
>> instantiation of class
>> "hpx::traits::is_iterator<Iter, Enable> [with Iter=const
>> std::unique_ptr<hpx::parcelset::locality::impl_base,
>> std::default_delete<hpx::parcelset::locality::impl_base>>
>> &, Enable=void]"
>> /usr/local/include/hpx/runtime/parcelset/locality.hpp(150):
>> here
>>
>> /usr/include/c++/5/bits/stl_iterator_base_types.h(155):
>> error: class
>> "std::unique_ptr<hpx::parcelset::locality::impl_base,
>> std::default_delete<hpx::parcelset::locality::impl_base>>"
>> has no member "value_type"
>> detected during:
>> instantiation of class
>> "std::__iterator_traits<_Iterator, void> [with
>> _Iterator=std::unique_ptr<hpx::parcelset::locality::impl_base,
>> std::default_delete<hpx::parcelset::locality::impl_base>>]"
>> (163): here
>> instantiation of class
>> "std::iterator_traits<_Iterator> [with
>> _Iterator=std::unique_ptr<hpx::parcelset::locality::impl_base,
>> std::default_delete<hpx::parcelset::locality::impl_base>>]"
>> /usr/local/include/hpx/traits/is_iterator.hpp(43): here
>> instantiation of class
>> "hpx::traits::detail::is_iterator<T> [with
>> T=std::unique_ptr<hpx::parcelset::locality::impl_base,
>> std::default_delete<hpx::parcelset::locality::impl_base>>]"
>> /usr/local/include/hpx/traits/is_iterator.hpp(49): here
>> instantiation of class
>> "hpx::traits::is_iterator<Iter, Enable> [with Iter=const
>> std::unique_ptr<hpx::parcelset::locality::impl_base,
>> std::default_delete<hpx::parcelset::locality::impl_base>>
>> &, Enable=void]"
>> /usr/local/include/hpx/runtime/parcelset/locality.hpp(150):
>> here
>>
>> /usr/include/c++/5/bits/stl_iterator_base_types.h(156):
>> error: class
>> "std::unique_ptr<hpx::parcelset::locality::impl_base,
>> std::default_delete<hpx::parcelset::locality::impl_base>>"
>> has no member "difference_type"
>> ....
>>
>> and it continues like this for a while.
>>
>> I am running an Ubuntu 16.04, gcc 5.4.0., cuda 7.5.17
>>
>> this is the cmake file i used to compile the example
>>
>> cmake_minimum_required(VERSION 3.3)
>> project(hpxvr CXX)
>>
>> set(CMAKE_CXX_STANDARD 14)
>> set(CMAKE_CXX_STANDARD_REQUIRED ON)
>>
>> set(HPX_IGNORE_COMPILER_COMPATIBILITY ON)
>>
>> find_package(HPX REQUIRED)
>>
>> include_directories(${HPX_INCLUDE_DIR})
>>
>> set( CMAKE_CXX_FLAGS "-D_MWAITXINTRIN_H_INCLUDED
>> -D_FORCE_INLINES -D__STRICT_ANSI__")
>>
>> add_hpx_executable(cuda_copy_expl
>> ESSENTIAL
>> SOURCES data_copy.cu
>> )
>>
>> I used to have another two error messages
>>
>> /usr/lib/gcc/x86_64-linux-gnu/5/include/mwaitxintrin.h(36):
>> error: identifier "__builtin_ia32_monitorx" is undefined
>>
>> /usr/lib/gcc/x86_64-linux-gnu/5/include/mwaitxintrin.h(42):
>> error: identifier "__builtin_ia32_mwaitx" is undefined
>>
>> which were solved using this workaround -
>> https://github.com/NVIDIA/nccl/issues/29
>>
>> As a last case solution we could upgrade to Ubuntu 17
>>and
>> hope that the problem resolves itself with newer CUDA
>> versions, but would rather remain on Ubuntu 16. Do you
>> have any solution ideas that could help?
>>
>> Best regards,
>> Ivan
>>
>>
>>
>> _______________________________________________
>> hpx-users mailing list
>> [email protected]
>> https://mail.cct.lsu.edu/mailman/listinfo/hpx-users
>>
>
> --
> ==========================================================
> Andreas Schäfer
>
> HPC and Supercomputing for Computer Simulations
> LibGeoDecomp project lead, http://www.libgeodecomp.org
>
> PGP/GPG key via keyserver
>
> I'm an SRE @ Google, this is a private account though.
> All mails are my own and not Google's.
> ==========================================================
>
> (\___/)
> (+'.'+)
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